Cadillac Sr. Reporting Analyst

Job DescriptionSponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. Work Arrangement: This position is categorized as hybrid on nightshift. This means the successful candidate is expected to report to the office three times per week (or other frequency) as dictated by the business.The RoleThe Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.This SSM Global COE – Cadillac Sr Reporting Analyst would work as an integral member of the Cadillac Retail Planning team to develop and apply advanced data science solutions that improve retail performance. The resource will lead the end-to-end development, maintenance, and continuous improvement of the Cadillac Sales Forecasting Machine Learning Model to help inform production and incentive decisions. Python, SQL, PBI, Databricks and Tableau skills are critical for this role.What You’ll DoThe role revolves around owning the Cadillac sales forecasting ML model and various PBI/Tableau dashboards for use by the Cadillac HQ and field teams and provide data-driven solutions to drive Cadillac’s retail performance.Data Science: run Machine Learning models and maintain dashboards. The ML model helps inform Cadillac’s production and incentive decisions and the dashboards provide our HQ and field teams with actionable tools and insights for use by senior leadership or in dealer consultationsData Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs, and customer metrics and program forecasting.Dashboard Development: Design interactive Power BI dashboards for operational tracking/metrics, and leadership executive summary.Advanced Analytics: Conduct trend, predictive, and segmentation analysis (e.g., which services drive subscription renewals or regional adoption).Collaborate closely with partners across Cadillac Sales Ops, Marketing, Finance, the Cadillac Field team, and GM IT to achieve shared objectivesSolve complex problems and present expert advice to leadership in a clear and thoughtful way with a focus on actionable solutions that can be understood by a non-technical audienceLeverage state-of-the art data science and predictive statistical methodologies to enhance retail performanceEnabling scenario planning (what-if analysis): e.g., what if rollout accelerates to X number of vans; what is cost/benefit per region; what subscriber conversion assumptions make the business case viable.Operational Insights: Identify efficiency opportunities and insights derived from statistical modelsThis role combines data engineering, analytics, and visualization—ensuring data accuracy, faster insights, and scalable reporting.Your Skills & Abilities (Required Qualifications)Bachelor’s degree in a Data Science, Statistics, Computer Science, Mathematics, Economics, or Computer Science preferred (master’s degree is a plus)5-8 Years in Data Analytics / Data Science or related fieldWorking knowledge of statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.Professional experience using data science techniques to improve business resultsTechnical proficiency using Python and other analytical programming languagesStrong SQL and Big Data skills and proficiency in data warehouse environments such as DatabricksHighly proficient in oral and written communication skills Background on emerging technological advancements such as AIData Visualization - Proficiency in Microsoft Power BI/Tableau – building dashboards, data models, and DAX measures.Data Modeling & Integration- Experience designing data models, relationships, hierarchies, and calculated measures. Knowledge of Dataflows, Azure Synapse, or Dataverse integration (for GM’s enterprise systems) a plus.Database & Querying - Strong SQL skills; ability to query large datasets from relational databases (e.g., SQL Server, Oracle). Familiarity with Data Bricks a plus.Data Preparation - Proficient in Power Query (M) and data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plusReporting Automation - Ability to automate refresh schedules, pipelines, and alerts for Power BI reports. Experience with Power Automate and API integrations a plusStatistical & Analytical Skills - Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus.Strong computer software skills, especially Microsoft Office, including familiarity with MS Excel and MS PowerPoint.What Will Give You A Competitive Edge (Preferred Qualifications)Strong interpersonal skills, including the ability to communicate the business benefits of analyticsAbility to apply multiple solutions to business problemsAbility to quickly comprehend the functions and capabilities of new technologiesAbility to explore, comprehend, and transform raw, unstructured dataAbility to identify areas of opportunity for automation in day-to-day reporting for the retail incentives teamAbility to think critically, solve problems, make decisions and build trust across the organizationAbility to guide team on multiple tasks and deliver results with aggressive timelinesExcellent interpersonal skills, as well as excellent communication skills, verbal and writtenDemonstrate self-motivation and the ability to grasp concepts quicklyEmbrace data driven & customer insights to inform plans, launches, and iterationsStrong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of qualityDemonstrated high level of interpersonal skills required to effectively collaborate, m